Class Schedule

Term

Subject

Location

Liberal Education

12 Courses Found.

ID	Dept.	Crs.	Sect.	Title	Cr.	Days	Time	Dates	Location	Instructor	Size
Computer Science
213845	CS	1107	01	Introduction to Computers	3	T H	2:00pm - 3:15pm	8.24.20-12.16.20	BG 207	Tian, Baozhong	0/40
An examination of the development of computing devices, modern computing practices, components of a computing system, common application software, and uses of computers in society. No previous experience with computers is assumed. Note: This course is not intended for Computer Science majors or minors. Liberal Education Goal Area 9.
213846	CS	1107	02	Introduction to Computers	3	M W F	2:00pm - 2:50pm	8.24.20-12.16.20	S 212	Staff	0/40
An examination of the development of computing devices, modern computing practices, components of a computing system, common application software, and uses of computers in society. No previous experience with computers is assumed. Note: This course is not intended for Computer Science majors or minors. Liberal Education Goal Area 9.
213847	CS	1309	01	Prob Solv & Computation	3	M W	12:00pm - 12:50pm	8.24.20-12.16.20	S 331	Wolf, Marty	1/20
						M	1:00pm - 2:50pm	8.24.20-12.16.20	S 371	Wolf, Marty
Laboratory meets in S 371 on Mondays, from 1:00-2:50 pm.
Introduction to general problem-solving techniques applicable to solving problems in computing, including elementary computational problems. Other techniques include using systematic lists, using diagrams, and looking for patterns. Includes fundamental computational concepts in information representation, computer organization, and social and ethical issues in computing. The two-hour lab introduces the use of software to solve a variety of problems. The prospective student should have a general understanding of computers and their operation. Prerequisite: Successful completion of MATH 0800 with a grade of B or better, or three years of high school mathematics (including two years of algebra) and a score on the Mathematics Placement Test appropriate for placement into MATH 1170. Liberal Education Goal Area 4
213848	CS	1309	02	Prob Solv & Computation	3	M W	12:00pm - 12:50pm	8.24.20-12.16.20	S 331	Wolf, Marty	2/20
						T	8:00am - 9:50am	8.24.20-12.16.20	S 371	Wolf, Marty
Laboratory meets in S 371 on Tuesdays, from 8:00-9:50 am.
Introduction to general problem-solving techniques applicable to solving problems in computing, including elementary computational problems. Other techniques include using systematic lists, using diagrams, and looking for patterns. Includes fundamental computational concepts in information representation, computer organization, and social and ethical issues in computing. The two-hour lab introduces the use of software to solve a variety of problems. The prospective student should have a general understanding of computers and their operation. Prerequisite: Successful completion of MATH 0800 with a grade of B or better, or three years of high school mathematics (including two years of algebra) and a score on the Mathematics Placement Test appropriate for placement into MATH 1170. Liberal Education Goal Area 4
213849	CS	2270	01	Intro to Web Programming	3	T H	2:00pm - 3:45pm	8.24.20-12.16.20	S 371	Neville, Francois	4/24
This course expands on basic knowledge of markup languages and web programming languages. Students learn how to use current web markup languages, aspects of various transfer protocols, and client-side scripting languages. All of these topics support the development of both web pages and web sites. Prerequisite: CS 1309.
213852	CS	2321	01	Computer Science I	4	M W F	12:00pm - 12:50pm	8.24.20-12.16.20	S 228	Tian, Baozhong	4/24
						T	12:00pm - 1:50pm	8.24.20-12.16.20	S 371	Tian, Baozhong
Laboratory meets in S 371 on Tuesdays, from 12:00-1:50 pm.
Introduction to the basic principles of software development using a modern high-level language, including using selection, looping, function calls, and recursion, along with simple data structures such as arrays and objects, to solve problems. Includes an introduction to software engineering techniques such as interactive debugging, software testing, and methods of software validation. Includes a two-hour lab. Prerequisite: CS 1309; MATH 1170 or MATH 1470 or higher.
213853	CS	2322	01	Computer Science II	4	M W F	9:00am - 9:50am	8.24.20-12.16.20	BG 230	Neville, Francois	2/24
						W	2:00pm - 3:50pm	8.24.20-12.16.20	S 371	Neville, Francois
Laboratory meets in S 371 on Wednesdays, from 2:00-3:50 pm.
Topics include recursion and the study of object-oriented concepts including encapsulation, inheritance and polymorphism. It includes the study of fundamental data structures including strings, lists, stacks, queues, containers classes, binary trees, and hash tables. Also includes a group-oriented software design and implementation project. Includes a two-hour lab. Prerequisite: CS 2321.
214274	CS	3360	01	Object-Oriented Sftwr Dev	3	M W F	12:00pm - 12:50pm	8.24.20-12.16.20	L 327	Neville, Francois	1/30
Techniques used in object-oriented software development. Key components of these techniques include design patterns, abstraction, encapsulation, modularity, message passing, polymorphism, inheritance, and incremental software development. Students translate a design into software using an object-oriented programming language. Additional topics may include applets, markup languages, multi-threaded programming, and rudimentary network programming. Prerequisite: CS 2322 or equivalent. May not be offered every year.
213854	CS	3528	01	Data Struct & Algorithms	4	MTW F	9:00am - 9:50am	8.24.20-12.16.20	M 220	Tian, Baozhong	2/30
Study of advanced abstract information storage structures, including priority queues, binary trees, generalized trees, and graphs. Study of algorithm development techniques, including divide and conquer, greedy algorithms, and dynamic programming. Includes learning a programming language not used in CS 2321 and CS 2322. Prerequisites: CS 2322 and MATH 2210 or consent of the instructor.
213855	CS	3560	01	Data Comm & Networks	3	M W F	1:00pm - 1:50pm	8.24.20-12.16.20	S 228	Tian, Baozhong	7/30
Principles of data communications as applied to modern computer networks. Prerequisite: CS 2810. May not be offered every year.
213856	CS	4360	01	Software Engineering	3	T H	12:30pm - 1:45pm	8.24.20-12.16.20	M 230	Neville, Francois	4/30
Software Engineering (SE) provides students with a capstone experience that integrates the theory and practice of SE. SE investigates a variety of SE models and guidelines used in industry, culminating in the design, specification and implementation of a software project of real-world import. Includes a two-hour lab. Prerequisites: CS 2810 and CS 3528.
213857	CS	4390	01	Soc, Ethical, & Prof Iss	3	T H	11:00am - 12:15pm	8.24.20-12.16.20	S 228	Wolf, Marty	8/30
Features strategies for analyzing the social, ethical, and professional implications of issues and decisions that computing professionals might encounter. Those strategies are practiced and refined in a variety of areas of concern for computing. Prerequisite(s): At least one CS course numbered 3000 or higher.
Delivery Method Key ONLP — Course has proctored exams or up to two in-person meetings. ITV — Interactive Television BLND — Blended/Hybrid: 25-75% of instruction is online with regularly scheduled in-person meetings. ONL — Completely Online: 100% of the instruction is online.

Last Updated: 2020-04-01 23:31:08

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